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中国商品期货指数在资产配置中的作用——基于动态条件相关系数的理论和实证

The Role of China Commodity Futures Index in Asset Allocation——an Empirical Analysis Based on DCC-GARCH Model
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摘要 本文立足于新兴的中国商品期货市场,基于DCC-GARCH模型与Markowitz的均值-方差理论框架,较为全面地考察中国商品期货与上证股票、债券的动态相关性,考察各自在资产配置中所起到的作用。本文发现与国际经验相反,中国市场中的商品期货与上证综指有着正的动态相关性,第一与国际相反,第二恰巧说明我们可以通过做空商品期货、做多上证综指以降低股票投资组合的风险。本文结果表明,对于股票类基金,可选择棉花、燃油以提高风险调整收益;对于债券类资产,可选择的商品期货类品种较多。对于在股票、债券市场里已经经过充分分散化配置的投资者,至少在近期要避免配置沪铝与焦炭。 This article classifies 9 kinds of commodity futures into 4 categories,i.e.agricultures,energy,industrial products and precious metal,to roundly inspect their respective correlations with Shanghai Composite(Equities)and Shanghai T-Bond(Bonds),based on the emerging Chinese commodity futures markets using DCC-GARCH and Mean-Variance Theory.On the contrary to general international empirical analysis,Chinese commodity futures have relatively positive correlations with Chinese equities,indicating the fact we could diversify equity risks by shorting some kinds of commodity futures.Its conclusion suggests cotton and fuel make a difference in diversifying equities risk while any kind of commodity could effectively diversify among bond assets.For those investing in both equities and bonds,they should avoid allocating aluminum or coke,at least in the current period.In summary,this article provides a relatively practical methodology and conclusion for Chinese markets participants.
作者 马小龙
出处 《上海管理科学》 2017年第6期29-38,共10页 Shanghai Management Science
关键词 商品期货 投资组合 均值-方差 DCC-GARCH模型 动态相关性 分散化 managed futures investment portfolio Mean-Variance DCC-GARCH dynamiccorrelation diversification
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  • 1陈舜,邱三发,凌洪.对冲基金风险收益特征的实证分析[J].财经科学,2006(9):21-28. 被引量:9
  • 2Edwards, Franklin R. & Jimmy Liew, 1998, Managed Futures As An Asset Class. Graduate School of Business, Columbia University.
  • 3Chicago Mercantile Exchange, 1999, Question and Answer Report: Managed Futures Accounts. Report No. M584/10M. 1299.
  • 4Favre, Laurent & Jose-Antonio Galeano, 2001, Portfolio Allocation with Hedge Funds: Case Study of a Swiss Institutional Investor. Quantitative Investment Solutions, Investment Center, UBS Private Banking, Zurich.
  • 5Jenson, Gerald R. & Jeffrey M. Mercer, 2001, Tactical Asset Allocation and Commodity Futures. Department of Finance, Northern Illinois University.
  • 6I Schneeweis, Thomas, Vassilios N. Karavas & Georgi Georgiev, 2002, Alternative Investments in the Institutional Portfolio. Alternative Investment Management Association( ALMA).
  • 7Kat, Harry H. , 2004, "Managed Futures and Hedge Funds: A Match Made in HeaVen". Journal of Investment Management. 2(1 ) : 1-9.
  • 8Orczyk, Shana, 2008, The Benefits of Investing in Ahernatives. Peak Financial Management, Inc.
  • 9Vuille, Simon & Corneliu Crisan, 2004, A Quantitative Analysis of CTA Fund's Returns. University of Lausanne, MBF Master Thesis.
  • 10Hudson, Ian. 2008, Managing Downside Risk With Upside Volatility: Enhancing the Performance of An Investment Portfolio with Managed Futures. Journal of Business & Economics Research, 6(4) : 25 -30.

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